Evidence-Backed Templates and Security Playbooks for AI Coding Agents

AI coding agents comparison: Codex, Claude, Cursor, and Copilot Build an evidence-led shortlist by operating surface, instructions, parallel work, model boundary, permissions, and governance.

Audit AGENTS.md, CLAUDE.md, Copilot, or Cursor rules Run deterministic browser-only checks for setup, tests, scope, safety, and file-path compatibility.

AI instruction-file adoption report: 400 GitHub files Download the dated CSV/JSON and see which test, scope, verification, and security rules samples omit.

Codex vs GitHub Copilot: app, CLI, cloud and team fit Compare current agent surfaces with a six-question workflow decision tool.

CLAUDE.md vs Copilot Instructions support matrix Choose the right repo instruction file by tool surface.

Loop Engineering: Addy Osmani, examples, stop rules Learn the workflow, caps, and human checkpoints before scaling agent work.

AGENTS.md template for Codex, Node.js, Python Copy practical repo instructions after choosing the right file.

SpaceX Cursor acquisition deal status and timeline Event page with deal status, Q3 2026 closing window, and developer impact.

Cursor Enterprise security and Privacy Mode checklist Verify retention caveats, repo controls, MCP allowlists, and agent permissions.

MCP server security checklist Secure MCP connections with authentication, permissions, logs, and revocation.

Replacing or complementing Claude Code? Compare seven Claude Code alternatives by workflow and keep staying with Claude Code as a valid result when no candidate improves the measured constraint.

Standardizing repository guidance? Compare instruction files by tool and surface before choosing the adapters your team will maintain.

Connecting agents to external tools? Review the MCP security checklist before granting credentials, network access, or write permissions.

Moving from one-shot prompts to repeatable workflows? Design loop engineering for AI coding agents with stop rules, verification commands, and cost limits before scaling Automations or /loop schedules.